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Editor(s)-in-Chief: Hiep Xuan Huynh and Fabien Ferrero

EAI Endorsed Transactions on Smart Cities is open access, peer-reviewed scholarly journal focused on applications for Smart Cities with leverage on big-data applications, ICT devices used in the factory of the future, HPC, industrial processes, energy efficiency systems, social platforms, and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a quarterly frequency (four issues per year). Authors are not charged for article submission and processing.

INDEXING: DOAJ, CrossRef, Google Scholar, ProQuest, EBSCO, CNKI, Dimensions

Topics include, but are not limited to, the following:

  • Applications for Smart Cities able to leverage Big-Data Applications, ICT devices used in Factory of the Future, HPC, Industrial Processes, Energy Efficiency Systems, Social Platforms, etc.
  • Building Trust-based communication and computing systems for IoT and Clouds applications being Secure for Citizens
  • eHealth applications for Citizens.
  • Connecting in City Buildings for optimizing resources and utilities.
  • Software engineering methodology for the design of Smart Cities Systems
  • Energy Efficient and Green Software-defined Infrastructures aimed at Smart Cities facilities.
  • Re-allocation of resources and services (independently of their location) across distributed computing and geographically separated data storage and processing infrastructures. Inter-Cities along with Federation Services: availability, Disaster recovery, etc.
  • Federation of Services (IaaS, PaaS and SaaS) aimed at Public Administrations
  • Service discovery in Smart Cities - device Discovery and Data Discovery.
  • Easy and Large Deployment and autonomic management of densely interconnected and decentralised Cloud, Networks and IoTs infrastructures aimed at Smart Cities.
  • Control Architectures/Network Programmability in Smart Cities aimed at mobility, traffic and road networks, transport systems, energy, economy, and so on.
  • ICT applications enabling Energy-aware, smart and sustainable mobility solutions for Smart Cities.
  • Verification/Debugging/ Auditing Tools for all Applications in Smart Cities Domains
  • Energy-aware and sustainable computing solutions for Smart Cities applications

Call for Papers: Special issue on: Smart Tourism: Tourism in Smart Cities (Manuscript submission deadline: 2022-03-31; Notification of acceptance: 2022-04-15; Submission of final revised paper: 2022-05-15; Publication of special issue (tentative): 2022-06-15)

Guest Editor: Tiago C. Pereira (IESF's Research, Development and Innovation Centre-CIDI, Portugal)

Call for Papers: Special issue on: Smart Technologies: Applied Technology in Smart Cities (Manuscript submission deadline: 2022-06-30; Notification of acceptance: 2022-07-21; Submission of final revised paper: 2022-08-30; Publication of special issue (tentative): 2022-10-21)

Guest Editor: Tiago C. Pereira (IESF's Research, Development and Innovation Centre-CIDI, Portugal) Guest Editor: Antonio Abreu Silva (Instituto Politécnico do Porto, Portugal) Guest Editor: João Vidal de Carvalho (Polytechnic of Porto, Portugal)

  • Editors-in-Chief
  • Hiep Xuan Huynh, Can Tho University, Vietnam
  • Fabien Ferrero, Université de Côte d'Azur (UCA), France
  • Associate Editors            
  • Vincent Rodin, Université de Bretagne Occidentale (UBO), France
  • Serge Stinckwich, United Nations University (UNU), Macau
  • Thanh-Nghi Do, Can Tho University (CTU), Vietnam
  • Jean-François Dorville, The University of the West Indies, Jamaica / Université des Antilles Guyanes, Guadeloupe
  • Mahamadou Traore, Université Gaston Berger Saint-Louis, Senegal
  • Onil Goubier, CIRELA, Indonesia
  • Tsimitomby Briand, Institut Supérieur de Technologie d'Antsiranana (IST-ANTSIRANANA), Madagascar
  • Nghia Duong-Trung, German Research Center for Artificial Intelligence (DFKI), Germany
  • Mansha Swami, Morgan State University, USA
  • Area Editors      
  • Sergei Gorlatch, University of Muenster, Germany
  • Bao Hoai Lam, Can Tho University, Vietnam
  • Dung Van Hoang, Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam
  • Nguyen Nhat Vo, University of Michigan, USA
  • Nhat Minh Viet Vo, Hue University, Vietnam
  • Angelo Martella, University of Salento, Italy
  • Khoi Tan Nguyen, University of Science and Technology - The University of Da Nang (DUT-UDN), Vietnam
  • Marco Zappatore, University of Salento, Italy
  • Thang Cong Pham, University of Science and Technology - The University of Da Nang (DUT-UDN), Vietnam
  • Duy Khanh Ninh, University of Science and Technology - The University of Da Nang (DUT-UDN), Vietnam
  • Thuy Thu Thi Pham, Nha Trang University (NTU), Vietnam
  • Yen-Wen Chen, National Central University, Taiwan
  • Anh Viet Nguyen, Institute of Information Technology, Vietnam Academy of Science and Technology, Vietnam
  • Nghia Quoc Phan, Tra Vinh University, Vietnam
  • Vu Tran Pham, Ho Chi Minh City University of Technology, Vietnam National University (Ho Chi Minh City), Vietnam
  • Xia Wang, German Research Center for Artificial Intelligence (DFKI), Germany
  • Anand Nayyar, Duy Tan University, Viet Nam
  • Sheikh Faisal Rashid, German Research Center for Artificial Intelligence (DFKI), Germany
  • Tung Kieu, Aalborg University, Denmark
  • Chinh Quoc Bui, Elsevier, Netherlands
  • Binh Thanh Nguyen, Monash University, Australia
  • Viet Xuan Le, Quy Nhon University, Vietnam
  • Lang Van Tran, Vietnam Academy of Science and Technology, Vietnam
  • Son Hoang Le, Information Technology Institute, Vietnam National University (Hanoi), Vietnam
  • Vinh Quoc Tran Nguyen, University of Science and Education, The University of Da Nang (DUT-UDN), Vietnam
  • Toan Nang Do, Vietnam National University - Hanoi, Vietnam
  • Son Xuan Ha, RMIT University Vietnam
  • Hanh Hong Thi Nguyen, Can Tho University of Technology, Vietnam
  • Eloi Keita, Université de Bretagne Occidentale (UBO), France
  • Congduc Pham, Université de Pau et des Pays de l’Adour (UPPA), France
  • An Cong Tran, Can Tho University (CTU), Vietnam
  • Duong Ngoc Vo, University of Science and Technology - The University of Da Nang (DUT-UDN), Vietnam
  • Hanh Huu Hoang, Ministry of Information and Communications, Vietnam

  • Enhancing precision agriculture: An IoT-based smart monitoring system integrated LoRaWAN, ML and AR

    Appears in:
    sc 24(4):

    Authors:
    Nguyen Thi Hang Duy, Do Thanh Huong, Kou Yamada, Pham Vu Minh Tu, Huu Hoang Hanh

    Published:
    20th Nov 2024

    Abstract:
    Effective crop production and harvesting decisions rely on proper farm monitoring and management. Each region has distinct needs for farm oversight, but the primary focus remains on collecting and evaluating environmental data such as temperature, soil moisture, air humidity, all of which are vital to plant growth. Gathering this data on a large scale requires significant effort and is often based on intuition or simple measurement tools. This paper proposes a novel solution for farming data collection using an IoT platform integrated Long-Range Wide Area Networks (LoRaWAN) network application with Augmented Reality (AR) technology and Machine Learning (ML) algorithms to predict key environmental daily indexes. In a pilot study in Quang Tho, Vietnam, the system accurately predicted environmental conditions, reduced the risk of crop failure, and improved farm management efficiency. This approach enhances real-time data interaction and offers predictive analytics, supporting sustainable agriculture.

  • Multimodal Sentiment Analysis in Natural Disaster Data on Social Media

    Appears in:
    sc 24(4):

    Authors:
    Sefa Dursun, Süleyman Eken

    Published:
    14th Nov 2024

    Abstract:
    INTRODUCTION: With the development of the Internet, users tend to express their opinions and emotions through text, visual and/or audio content. This has increased the interest in multimodal analysis methods. OBJECTIVES: This study addresses multimodal sentiment analysis on tweets related to natural disasters by combining textual and visual embeddings. METHODS: The use of textual representations together with the emotional expressions of the visual content provides a more comprehensive analysis. To investigate the impact of high-level visual and texual features, a three-layer neural network is used in the study, where the first two layers collect features from different modalities and the third layer is used to analyze sentiments. RESULTS: According to experimental tests on our dataset, the highest performance values (77% Accuracy, 71% F1-score) are achieved by using the CLIP model in the image and the RoBERTa model in the text. CONCLUSION: Such analyzes can be used in different application areas such as agencies, advertising, social/digital media content producers, humanitarian aid organizations and can provide important information in terms of social awareness.

  • Development of a Smart Waste Management System with Automatic Bin Lid Control for Smart City Environment

    Appears in:
    sc 24(3):

    Authors:
    Abdussalam El-Suleiman, Teng David Chollom, Rabiu B. Ahmad, Ameer Mohammed, Mathias Usman Bonet, Abbas Abdullahi

    Published:
    18th Apr 2024

    Abstract:
    As cities worldwide transform into smart, interconnected urban environments, the management of municipal waste emerges as a pressing challenge. This paper, titled "Development of a Smart Waste Management System with Automatic Bin Lid Control," offers a sophisticated solution that integrates seamlessly within the concept of smart cities. This system harnesses the power of the Internet of Things (IoT) to optimize waste collection and enhance urban cleanliness. The primary aim of this project is to create a smart waste management system that extends beyond traditional waste bins. It introduces a network of intelligent waste containers equipped with automatic lid control mechanisms that operate based on real-time waste level data. When approaching these bins, the lid control mechanism automatically opens the bin only if the waste level is not full, thereby facilitating convenient waste disposal. In the context of smart cities, this innovative approach presents several advantages. It optimizes waste collection efficiency by prioritizing bins in need of immediate attention and ensures that waste containers are not prematurely emptied, reducing unnecessary waste disposal trips. Moreover, the system enables city authorities to gain insights into waste level trends, fostering data-driven and proactive waste management strategies for a cleaner, more sustainable urban environment.

  • A Contemporary Approach to Designing and Implementing Electronic Voting Systems (EVS)

    Appears in:
    sc 24(3):

    Authors:
    Benedict C. Nwachuku, Samuel Chris Quist, Adams Addison Kobla Azameti, Godfred Koi-Akrofi

    Published:
    14th Mar 2024

    Abstract:
    This study delves into the potential of Electronic Voting Systems (EVS) in Ghana, to enhance transparent and trustworthy electoral processes. We presented a comprehensive framework highlighting trust, diaspora engagement, and human factors in voting. The study proposes a robust EVS framework for Ghana, emphasizing trust and accountability, preventing electoral fraud, and encouraging African governments to invest in IT and collaborate with experts in e-government and e-voting systems. We commence with a detailed systems analysis, identifying specific electoral challenges in Ghana. An artifact is designed and developed, and the artifact's effectiveness is demonstrated through Design Science Research Methodology (DSRM). We evaluated its alignment with the desired solution for Ghana's electoral issues. We emphasize the potential of EVS to address electoral challenges in Ghana and underscore the importance of proactive government policies, IT investments, and collaboration with IT experts. User acceptance testing achieved a remarkable 98% approval rate, showcasing the feasibility of implementing EVS at the national level. This research underlines the pivotal role of EVS in Ghana and advocates for visionary government policies and investments in IT. These measures can modernize electoral systems, align them with international standards, and promote democratic progress while preventing electoral fraud in Ghana and other African nations to avoid condemnation and punishment of unconstitutional transfers of power that are being challenged by meticulously planned takeovers.  

  • Evaluation of Frameworks for MLOps and Microservices

    Appears in:
    sc 23(3):

    Authors:
    Rogério Rossi, Igor Urias

    Published:
    13rd Nov 2023

    Abstract:
    Information Technology involves solutions for many kinds of industries and organizations, offering conditions for solving problems of different types and complexities. Artificial Intelligence, and more specifically applications that considers Machine Learning (ML) and Software Technology are part of these solutions for solving problems, including solutions for solving problems that involve smart cities approach. In order to present frameworks that deal with the operationalization of Machine Learning and Software technology, this article is based on the study and evaluation of frameworks that involve Machine Learning Operations (MLOps) and microservices. Specifically, three frameworks that integrate ML algorithms with microservices are evaluated based on a bibliographical review in scientific journals of relevance to the area. From an exploratory analysis of these frameworks, it was possible to highlight their main objectives, their benefits, and their ability to offer solutions that favor the large-scale use of Machine Learning algorithms in problem solving. The main results are highlighted in the article through a qualitative analysis that considers six evaluation criteria, such as: capacity for sharing resources, scope of use by users, and use in a cloud environment. The results achieved are satisfactory since the work allows, through a qualitative view of the evaluated frameworks, a perspective of how the integration of MLOps and microservices has been carried out, its benefits and possible results achieved through this integration.

  • Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network

    Appears in:
    sc 23(2): e5

    Authors:
    Ameer Muhammed, Ubadike Obunike Arinze, Ubadike Osichinaka Chiedu, Mathias Usman Bonet, Abbas Abdullahi

    Published:
    5th Oct 2023

    Abstract:
    Aircraft hangar fire detection systems are essential for protecting both the facility's assets and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the Intelligent Aircraft Hangar Fire detection is considered as a high-performance system that is designed based on the principle of a wireless sensor network (WSN), which operates by employing three sensor nodes at different locations inside the aircraft hangar to transmit gas concentrations in the air to a base station (BS) and send the resulting data from the sensor nodes to a server for analysis and visualization of the risk level. The server uses Machine Learning (ML) techniques to analyze the acquired data along with the sample gas data and displays the report in real time. When the smoke (gas) concentration is high, the server predicts a fire outbreak by displaying a high concentration zone on the Graphic User Interface (GUI). By this, the server automatically issues a warning and identifies the potential fire location. The technology is built to protect aircraft assets, hangar buildings, and human (personnel) life. A crucial part in the early detection of fire is played by the intelligent system

  • Applied Design and Methodology of Delivery Robots Based on Human–Robot Interaction in Smart Cities

    Appears in:
    sc 23(2):

    Authors:
    Tiande Mo, Kam Wah Fan, Ki Sing Li, Wing Ting LAW

    Published:
    26th Jun 2023

    Abstract:
    This paper proposes an optimised design of an autonomous delivery robot while adopting the latest technologies from the different branching fields of robotics, artificial intelligence, and tele-communication. As a prospective representation of a user-centric robot design, the proposal is design with the major focus on maximizing users’ satisfaction throughout every human–robot interaction (HRI) touchpoints. By the use of sensor fusion techniques along with the deployment of an image-detection-based technique accompanying the point-cloud-detection-based path-planning methodology, the robot delivery would be optimised with effective path-planning and obstacle avoidance capability. With the extension of 5G connectivity, it is proposed that the real-time status update and video stream would enable greater efficiency in terms of remote monitoring and centralised robot administration.

  • Editorial: Welcome to the first issue of Volume 7 of the EAI Endorsed Transactions on Smart Cities

    Appears in:
    sc 23(1): e1

    Authors:
    Mohammad Derawi

    Published:
    30th Mar 2023

    Abstract:

  • Propaganda Detection And Challenges Managing Smart Cities Information On Social Media

    Appears in:
    sc 23(2): e2

    Authors:
    Pir Noman Ahmad, Khalid Khan

    Published:
    30th Mar 2023

    Abstract:
    Misinformation, false news, and various forms of propaganda have increased as a consequence of the rapid spread of information on social media. The Covid-19 spread deeply transformed citizens' day-to-day lives due to the overview of new methods of effort and access to facilities based on smart technologies. Social media propagandistic data and high-quality information on smart cities are the most challenging elements of this study. As a result of a natural language processing perspective, we have developed a system that automatically extracts information from bi-lingual sources. This information is either in Urdu or English (Ur or Eng), and we apply machine translation to obtain the target language. We explore different neural architectures and extract linguistic layout and relevant features in the bi-lingual corpus. Moreover, we fine-tune RoBERTa and ensemble BiLSM, CRF and BiRNN model. Our solution uses fine-tuned RoBERTa, a pretrained language model, to perform word-level classification. This paper provides insight into the model's learning abilities by analyzing its attention heads and the model's evaluation results.

  • An Efficient Substitution Box design with a chaotic logistic map and Linear Congruential Generator for secure communication in Smart cities

    Appears in:
    sc 23(1): e6

    Authors:
    Noshina Tariq , Muhammad Asim Hashmi

    Published:
    23rd Mar 2023

    Abstract:
    The study provides a unique method for creating an efficient substitution box (S-box) for advanced encryption standards using a Chaotic Logistic Map (CLM) and a Linear Congruential Generator (LCG) (AES) for secure communications in a smart city. The Pseudo-Random Number Generator (PRNG), which is further examined, is constructed using an extensive search of reasonable possibilities for the initial seed and set parameters. Using statistical testing, the performance analysis of the new S-box is assessed. Additionally, the resilience of differential, as well as linear cryptanalysis, is shown. It is derived using other features, including nonlinearity, the Bit Independence Criterion (BIC), and the Strict Avalanche Criterion (SAC). The suggested S-box has good potential and is usable for symmetric key cryptography, according to the features of the new S-cryptographic box.

  • Implementation of Decentralized Blockchain E-voting

    Appears in:
    sc 20(10): e4

    Authors:
    Saad Moin Khan, Tarek Husein, Aqeel Khalique, Gazala Mushtaq, Aansa Arshad

    Downloads:
    8578

    Abstract:
    E-voting reduced the cost of election and provided convenience to some extent as compared to the traditional approach of pen and paper but it was considered to be unreliable as anyone having access to the machine physically can obstruct the machine and alter the votes. Also in order to control the entire procedure from electronic voting to electoral results and tracking the outcomes, a central system is required. Voters are not completely secure as vote can be targeted easily. It also possesses a great threat to the right to vote and transparency. This paper provides a solution for removing inconveniences from conventional elections using blockchain that has emerged as an exciting technology for various application due to its unique characteristics that outperform other technologies. The goal of this research is to establish a system for e-voting that is decentralized rather than centralized by using blockchain technology that guarantees protection to electorate’s identity, data transfer privacy and verifiability by an open and transparent voting process.

  • Road Traffic RFID Pedestrians Detecting System for Vehicles

    Appears in:
    sc 19(9): e2

    Authors:
    Michal Balog, Stella Hrehova, Angelina Iakovets

    Downloads:
    2593

    Abstract:
    Safe road traffic, clean environment, environmentally friendly vehicles and eco-buildings are components of the world’s vision of immediate future supported by scientists and statesmen. Aspiration for healthy environment and sustainable development of technologies give life for idea of smart cities which consist of all these visions towards modern world. The aim of research was connection pedestrians and alarm system of the vehicle to prevent road incidents with the help of RFID technology. There were proposed vehicle RFID system and tags for pedestrians. System was designed on the basis of scientists’ research in this area. The main factors influencing the construction of proposed system were working range of the system and coverage width of the reading devices. Further were compared existent subsidiary systems for drivers versus designed system. The study represents the expected effectiveness of the proposed RFID system as well as the ability to implement it even in old vehicle control systems.

  • Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology

    Appears in:
    sc 18(9): e1

    Authors:
    Jamal Maktoubian, Mohebollah Noori, Mehran Ghasempour-Mouziraji

    Downloads:
    2433

    Abstract:
    The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and social network, etc. Traditionally, it has been influenced by big oilfield companies. However, in recent years the industry has been changing into a more heterogeneous and diverse network of businesses, and the oilfields are getting smaller and more diverse. One of the reason could be dwindling the oil reserves and growing specialized companies which are able to extract hydrocarbons; another reason is the restructuring and globalization of the entire business as well as some new technology implementing. Using agent-based modeling and big data technology integrity, we are able to optimize supply chain in oil and gas industries.

  • Application of real-time GIS analytics to support spatial intelligent decision-making in the era of big data for smart cities

    Appears in:
    sc 19(9): e3

    Authors:
    Peter Metzger, Peter Brandt, Monica Slinkey, Kelli Fika, Mbongowo J. Mbuh

    Downloads:
    2268

    Abstract:
    The rapid growth of the urban landscape from natural development, traffic congestion, crime, and waste management has become a challenge to the city dwellers and decision-makers, thus requiring smart and efficient ways to tackle these problems. The combination of big data and Internet of Things (IoT) is guiding local communities in achieving the goal of building creative communities. This study aims to use real-time spatial analytics that integrates state–of–the art ICT approaches with interdisciplinary synthesis for smart solution making process across different sectors of the community. The use of real-time data and coordination of information from multiple city agencies enable policymakers to adjust management strategies in near real-time and can also provide citizens with situational awareness on emergency and non-emergency conditions. Using state-of-the-art technologies, and communication-based applications within the context of smart cities, three smart city examples were developed with the case study of Grand Forks, North Dakota. Using Web AppBuilder, a health resources inventory for the town of Grand Forks was designed with real-time integration of medical information and treatment facilities within the community. For emergency response and preparedness, we developed and deployed a solution that combines information from all the sectors of the city using Survey123 for ArcGIS to collect data and display it on an operational dashboard with multiple visualizations for real-time monitoring of people, services, assets and analysis of events or activities. This operation offers real-time verification and can be an essential resource for team leaders and emergency operations centers. The information collected also provides the flexibility to show layers of information, and task force leaders have a view of their task forces and, consequently, the enrichment of life by making the community safe, healthy, and sustainable.

  • Does collective consciousness compromise during epidemics and pandemics?

    Appears in:
    sc 20(13): e5

    Authors:
    Namita I, Anoushka Khanna, Prem Kumar Indraganti, Rina Chakrabarti

    Downloads:
    2247

    Abstract:
    The ongoing pandemic, COVID-19, has received unprecedented global attention. Though a pathogen is essentially the causative agent, the dynamics of the cause-effect in major events like the ongoing COVID-19 pandemic is not well understood. It is not even clear if the focused attention of the normal population impacts the safety and health of the exposed victims and in what way the different groups interact with each other, is also a big question. The idea of panpsychism and hierarchical consciousness suggests that consciousness functions beyond an individual and works at distinct levels such as family, community, state, territories, nations, and world. In this perspective, keeping in mind, the idea of hierarchical consciousness, the impact of higher consciousness in major events like the COVID-19 pandemic, on the well-being and fate of the exposed population along with the probable role of quantum entanglement, has been discussed.

  • Emulating Vehicular Ad hoc Networks for Evaluation and Testing of Automotive Embedded Systems

    Appears in:
    sc 15(2): e2

    Authors:
    Manuel Schiller, Alois Knoll

    Downloads:
    1999

    Abstract:
    The evaluation and testing of cooperative applications based on Vehicular Ad hoc Networks (VANETs) in real testbeds is difficult due to the need for repeatable scenarios and large-scale experiments. Therefore a novel virtualization-based framework is presented to evaluate automotive software in the context of emulated VANETs. The approach enables the precise and large-scale evaluation of real-world implementations through the synchronized execution of network and vehicle simulators as well as the applications encapsulated in virtual Electronic Control Units. This paper provides a detailed description of the framework's structure and its components as well as an validation of the proposed synchronization algorithm. The performance comparison with pure network simulation indicates that despite additional overhead large-scale experiments can be conducted without loss of accuracy.

  • Critical Success Factors of Green Project Management for Sustainable Housing

    Appears in:
    sc 20(12): e5

    Authors:
    A. Samer Ezeldin, Medhat Elshazly, Dina Khater

    Downloads:
    1895

    Abstract:
    The growing demand for green construction, which is associated with increased perceptions of the risks associated with going green, highlights the need for a standard or benchmark that should be identified for project management practices to ensure successful sustainable urban development, assess its progress and report the results. The article argues that this would require a rephrasing of the project management processes as the execution of green building projects requires changes to the traditional project management aspects. Therefore, the article will address the significant changes needed for project management practices that are appropriate to provide procedural parameters to a green building project. Based on this perspective, the article explores the integration of concepts of sustainability into knowledge areas and processes of project management and how it can be used as a tool to sustainably implement the construction projects. The article results to reach the critical success factors of a work plan which is introduced as a Guide Model. The introduced Guide Model was validated to ensure the integration of sustainability into the management of sustainable development and fast track mega projects, called Green Project Management (GPM) with Egyptian sustainable development in the housing sector as the case study.

  • IoT Applications to Smart Campuses and a Case Study

    Appears in:
    sc 17(5): e4

    Authors:
    D. Minoli

    Downloads:
    1671

    Abstract:
    Internet of Things (IoT) concepts are now being broadly investigated for actual deployment initiatives. Although ecosystem-wide architectures and standards are still slowly evolving and/or still lacking, some progress is being made; standardization fosters flexibility, cost-effectiveness, and ubiquitous deployment. Applications range from infrastructure and critical-infrastructure support (for example smart grid, smart city, smart building, and transportation), to end-user applications such as e-health, crowdsensing, and further along, to a multitude of other applications where only the imagination is the limit. This article discusses a specific example of an IoT application supporting Smart Campuses. Smart Campuses are part of a continuum that spans cities at the large-scale end to smart buildings at the small-scale end, and encompass universities, business parks, hospitals, housing developments, correctional facilities, and other real estate environments. The specific Use Case example covered in this article relates to an actual project to automate some key functions at a set of large campuses, but the nature of the campus is not directly revealed. After a review of the applicable IoT and control technologies, this Best Practices article describes technological solutions that were employed to support the requisite control functions and serves as an example for the applicability of IoT to Smart Campus applications.

  • An Open Agent-Based Model to Simulate the Effect of WOM Marketing Campaigns

    Appears in:
    sc 16(4): e3

    Authors:
    Manuela López, Hiroaki Fukuda, Paul Leger, Carmen Hidalgo-Alcázar

    Downloads:
    1651

    Abstract:
    Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficulty in getting data and isolating the effect that is analyzed limits the research of marketers in this topic. Lastly, some simulation models based on agents have overcome previous difficulty. However, these models are ad-hoc and specific solutions for every study. This poster proposes an open implementation of an agent-based model to simulate different scenarios of WOM marketing campaigns. Through customizations, this proposal will allow marketing researchers to test WOM marketing campaigns in different scenarios.

  • Apps in Time of Pandemic: Digital Usage and Gratifications in Transition towards #SmartCity

    Appears in:
    sc 21(14): e5

    Authors:
    Baby Gharami, Surhita Basu

    Downloads:
    1580

    Abstract:
    INTRODUCTION: The study explores how during COVID-19 pandemic online apps helped people applying uses gratification paradigm to identify needs, usages and gratification of users. OBJECTIVES: The paper investigates how COVID-19 pandemic has affected the usage pattern of online apps? What is the gratification level of using online apps during COVID-19 pandemic? How users perceive the use of online apps during COVID-19 pandemic? METHODS: The study employs small scale snowball sampling survey across major cities of India addressing questions on comparative usage pattern of online apps before and during the pandemic, users’ gratification and users’ opinion of using online apps. RESULTS: Usage of few apps like news, video, health increased during the pandemic with frequency and intensity of usage. Users are concerned with misinformation spread through social media, demeaning family bonding due to high usage of apps, digital divide failing to provide enough job opportunities. CONCLUSION: Specific apps to deal with health emergencies should be developed along with mechanism against spread of misinformation and strategic attempts for digital inclusion.
Publisher
EAI
ISSN
2518-3893
Number of Volumes
7
Last Published
2024-11-13
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